ErrorAI commited on
Commit
7df6f33
·
verified ·
1 Parent(s): fa229ee

Training in progress, step 389, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/mistral-7b-instruct-v0.3
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.3",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "k_proj",
25
+ "gate_proj",
26
+ "q_proj",
27
+ "o_proj",
28
+ "down_proj",
29
+ "up_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dcf91469067f9eeced923f09648ab33e895e048202ef13b3186d6e281eb2cc7f
3
+ size 83945296
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c71538bb88197b52ca4e6ed5db3c576ec2d1ecedad4236ec6051f25f42ddc2c
3
+ size 43123028
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a5b5e17a55c3332ea94d79a7c64685c82f7ab052ce21c7c47f5765a76965b0f
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:050c7b76044759aeaf3d206323a93cadc9c1671815bdc5293e6c90f494ced106
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[control_768]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
3
+ size 587404
last-checkpoint/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,2756 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.01589604233496108,
5
+ "eval_steps": 500,
6
+ "global_step": 389,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 4.086386204360174e-05,
13
+ "grad_norm": 32.35245895385742,
14
+ "learning_rate": 2e-05,
15
+ "loss": 8.4638,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 8.172772408720348e-05,
20
+ "grad_norm": 27.18036651611328,
21
+ "learning_rate": 4e-05,
22
+ "loss": 8.7385,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.00012259158613080523,
27
+ "grad_norm": 22.749631881713867,
28
+ "learning_rate": 6e-05,
29
+ "loss": 7.8372,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.00016345544817440697,
34
+ "grad_norm": 21.95606803894043,
35
+ "learning_rate": 8e-05,
36
+ "loss": 8.1841,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.0002043193102180087,
41
+ "grad_norm": 19.77204704284668,
42
+ "learning_rate": 0.0001,
43
+ "loss": 8.6331,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.00024518317226161047,
48
+ "grad_norm": 25.299869537353516,
49
+ "learning_rate": 9.999989716599041e-05,
50
+ "loss": 7.5998,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.0002860470343052122,
55
+ "grad_norm": 21.570093154907227,
56
+ "learning_rate": 9.999958866438464e-05,
57
+ "loss": 7.2277,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.00032691089634881394,
62
+ "grad_norm": 23.380281448364258,
63
+ "learning_rate": 9.999907449645163e-05,
64
+ "loss": 6.5516,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.0003677747583924157,
69
+ "grad_norm": 14.654683113098145,
70
+ "learning_rate": 9.999835466430639e-05,
71
+ "loss": 6.8196,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.0004086386204360174,
76
+ "grad_norm": 17.326505661010742,
77
+ "learning_rate": 9.99974291709098e-05,
78
+ "loss": 7.6549,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.00044950248247961914,
83
+ "grad_norm": 17.01525115966797,
84
+ "learning_rate": 9.99962980200688e-05,
85
+ "loss": 7.7667,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.0004903663445232209,
90
+ "grad_norm": 16.817630767822266,
91
+ "learning_rate": 9.999496121643616e-05,
92
+ "loss": 8.4052,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.0005312302065668226,
97
+ "grad_norm": 15.02230453491211,
98
+ "learning_rate": 9.999341876551069e-05,
99
+ "loss": 7.5967,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.0005720940686104244,
104
+ "grad_norm": 17.479883193969727,
105
+ "learning_rate": 9.999167067363703e-05,
106
+ "loss": 7.1457,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.0006129579306540261,
111
+ "grad_norm": 22.608917236328125,
112
+ "learning_rate": 9.998971694800569e-05,
113
+ "loss": 6.92,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.0006538217926976279,
118
+ "grad_norm": 15.77768611907959,
119
+ "learning_rate": 9.998755759665308e-05,
120
+ "loss": 6.236,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.0006946856547412296,
125
+ "grad_norm": 16.468963623046875,
126
+ "learning_rate": 9.998519262846136e-05,
127
+ "loss": 6.5991,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.0007355495167848313,
132
+ "grad_norm": 16.331256866455078,
133
+ "learning_rate": 9.998262205315851e-05,
134
+ "loss": 7.5169,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.000776413378828433,
139
+ "grad_norm": 16.179676055908203,
140
+ "learning_rate": 9.997984588131826e-05,
141
+ "loss": 6.0861,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.0008172772408720348,
146
+ "grad_norm": 15.519332885742188,
147
+ "learning_rate": 9.997686412435996e-05,
148
+ "loss": 7.3839,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.0008581411029156366,
153
+ "grad_norm": 17.317489624023438,
154
+ "learning_rate": 9.997367679454865e-05,
155
+ "loss": 7.3581,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.0008990049649592383,
160
+ "grad_norm": 18.62262725830078,
161
+ "learning_rate": 9.9970283904995e-05,
162
+ "loss": 6.2524,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.0009398688270028401,
167
+ "grad_norm": 15.572286605834961,
168
+ "learning_rate": 9.99666854696552e-05,
169
+ "loss": 6.8967,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.0009807326890464419,
174
+ "grad_norm": 15.743536949157715,
175
+ "learning_rate": 9.996288150333086e-05,
176
+ "loss": 6.5211,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.0010215965510900434,
181
+ "grad_norm": 15.656659126281738,
182
+ "learning_rate": 9.995887202166909e-05,
183
+ "loss": 6.3349,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.0010624604131336452,
188
+ "grad_norm": 14.97890853881836,
189
+ "learning_rate": 9.995465704116233e-05,
190
+ "loss": 5.909,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.001103324275177247,
195
+ "grad_norm": 19.323623657226562,
196
+ "learning_rate": 9.995023657914832e-05,
197
+ "loss": 7.5711,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.0011441881372208488,
202
+ "grad_norm": 23.951154708862305,
203
+ "learning_rate": 9.994561065381004e-05,
204
+ "loss": 8.4369,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.0011850519992644504,
209
+ "grad_norm": 18.174833297729492,
210
+ "learning_rate": 9.994077928417551e-05,
211
+ "loss": 6.8328,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.0012259158613080522,
216
+ "grad_norm": 21.768999099731445,
217
+ "learning_rate": 9.993574249011797e-05,
218
+ "loss": 7.5939,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.001266779723351654,
223
+ "grad_norm": 16.0784969329834,
224
+ "learning_rate": 9.993050029235552e-05,
225
+ "loss": 5.6128,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.0013076435853952558,
230
+ "grad_norm": 18.45024299621582,
231
+ "learning_rate": 9.992505271245126e-05,
232
+ "loss": 7.2958,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.0013485074474388575,
237
+ "grad_norm": 20.15422248840332,
238
+ "learning_rate": 9.991939977281299e-05,
239
+ "loss": 6.79,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.0013893713094824591,
244
+ "grad_norm": 20.988454818725586,
245
+ "learning_rate": 9.991354149669331e-05,
246
+ "loss": 7.5329,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.001430235171526061,
251
+ "grad_norm": 17.833402633666992,
252
+ "learning_rate": 9.990747790818947e-05,
253
+ "loss": 7.1789,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.0014710990335696627,
258
+ "grad_norm": 23.832569122314453,
259
+ "learning_rate": 9.990120903224311e-05,
260
+ "loss": 7.9279,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.0015119628956132645,
265
+ "grad_norm": 22.453641891479492,
266
+ "learning_rate": 9.989473489464044e-05,
267
+ "loss": 7.3563,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.001552826757656866,
272
+ "grad_norm": 18.8485050201416,
273
+ "learning_rate": 9.988805552201189e-05,
274
+ "loss": 7.8919,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.0015936906197004678,
279
+ "grad_norm": 20.521846771240234,
280
+ "learning_rate": 9.988117094183214e-05,
281
+ "loss": 7.4264,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.0016345544817440696,
286
+ "grad_norm": 23.515644073486328,
287
+ "learning_rate": 9.987408118241996e-05,
288
+ "loss": 7.8032,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.0016754183437876714,
293
+ "grad_norm": 20.498987197875977,
294
+ "learning_rate": 9.986678627293806e-05,
295
+ "loss": 8.1339,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.0017162822058312732,
300
+ "grad_norm": 18.774856567382812,
301
+ "learning_rate": 9.985928624339304e-05,
302
+ "loss": 7.3659,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.0017571460678748748,
307
+ "grad_norm": 22.373167037963867,
308
+ "learning_rate": 9.985158112463522e-05,
309
+ "loss": 6.934,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.0017980099299184766,
314
+ "grad_norm": 21.635862350463867,
315
+ "learning_rate": 9.984367094835856e-05,
316
+ "loss": 6.6595,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.0018388737919620784,
321
+ "grad_norm": 21.037921905517578,
322
+ "learning_rate": 9.983555574710042e-05,
323
+ "loss": 6.406,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.0018797376540056802,
328
+ "grad_norm": 24.574268341064453,
329
+ "learning_rate": 9.982723555424158e-05,
330
+ "loss": 6.7946,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.0019206015160492817,
335
+ "grad_norm": 30.303829193115234,
336
+ "learning_rate": 9.981871040400599e-05,
337
+ "loss": 6.7379,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.0019614653780928837,
342
+ "grad_norm": 27.70897674560547,
343
+ "learning_rate": 9.980998033146066e-05,
344
+ "loss": 7.0633,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.002002329240136485,
349
+ "grad_norm": 29.71209144592285,
350
+ "learning_rate": 9.980104537251551e-05,
351
+ "loss": 7.7937,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.002043193102180087,
356
+ "grad_norm": 36.392677307128906,
357
+ "learning_rate": 9.979190556392327e-05,
358
+ "loss": 9.7726,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.0020840569642236887,
363
+ "grad_norm": 23.124082565307617,
364
+ "learning_rate": 9.978256094327923e-05,
365
+ "loss": 8.0964,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.0021249208262672905,
370
+ "grad_norm": 18.6306209564209,
371
+ "learning_rate": 9.977301154902123e-05,
372
+ "loss": 6.6695,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.0021657846883108922,
377
+ "grad_norm": 22.567228317260742,
378
+ "learning_rate": 9.976325742042933e-05,
379
+ "loss": 6.5986,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.002206648550354494,
384
+ "grad_norm": 22.24195098876953,
385
+ "learning_rate": 9.975329859762581e-05,
386
+ "loss": 7.8847,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.002247512412398096,
391
+ "grad_norm": 15.674145698547363,
392
+ "learning_rate": 9.974313512157487e-05,
393
+ "loss": 7.108,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.0022883762744416976,
398
+ "grad_norm": 16.254152297973633,
399
+ "learning_rate": 9.973276703408257e-05,
400
+ "loss": 7.618,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.0023292401364852994,
405
+ "grad_norm": 13.447061538696289,
406
+ "learning_rate": 9.972219437779658e-05,
407
+ "loss": 5.418,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.0023701039985289008,
412
+ "grad_norm": 14.919565200805664,
413
+ "learning_rate": 9.971141719620604e-05,
414
+ "loss": 6.4513,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.0024109678605725026,
419
+ "grad_norm": 12.961139678955078,
420
+ "learning_rate": 9.970043553364139e-05,
421
+ "loss": 5.9823,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.0024518317226161043,
426
+ "grad_norm": 13.304807662963867,
427
+ "learning_rate": 9.968924943527417e-05,
428
+ "loss": 6.8065,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.002492695584659706,
433
+ "grad_norm": 19.168649673461914,
434
+ "learning_rate": 9.967785894711682e-05,
435
+ "loss": 6.7415,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.002533559446703308,
440
+ "grad_norm": 14.38369369506836,
441
+ "learning_rate": 9.966626411602253e-05,
442
+ "loss": 7.383,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.0025744233087469097,
447
+ "grad_norm": 13.37614917755127,
448
+ "learning_rate": 9.965446498968503e-05,
449
+ "loss": 6.0576,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.0026152871707905115,
454
+ "grad_norm": 13.369189262390137,
455
+ "learning_rate": 9.964246161663835e-05,
456
+ "loss": 6.5152,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.0026561510328341133,
461
+ "grad_norm": 12.1449613571167,
462
+ "learning_rate": 9.963025404625672e-05,
463
+ "loss": 5.7253,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.002697014894877715,
468
+ "grad_norm": 15.389847755432129,
469
+ "learning_rate": 9.961784232875426e-05,
470
+ "loss": 6.1741,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.0027378787569213164,
475
+ "grad_norm": 11.978641510009766,
476
+ "learning_rate": 9.960522651518484e-05,
477
+ "loss": 5.884,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.0027787426189649182,
482
+ "grad_norm": 15.073978424072266,
483
+ "learning_rate": 9.959240665744186e-05,
484
+ "loss": 7.4091,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.00281960648100852,
489
+ "grad_norm": 15.136378288269043,
490
+ "learning_rate": 9.9579382808258e-05,
491
+ "loss": 6.3326,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.002860470343052122,
496
+ "grad_norm": 15.58938980102539,
497
+ "learning_rate": 9.956615502120504e-05,
498
+ "loss": 5.9821,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.0029013342050957236,
503
+ "grad_norm": 12.80412483215332,
504
+ "learning_rate": 9.955272335069363e-05,
505
+ "loss": 5.5844,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.0029421980671393254,
510
+ "grad_norm": 17.568445205688477,
511
+ "learning_rate": 9.953908785197312e-05,
512
+ "loss": 6.998,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.002983061929182927,
517
+ "grad_norm": 19.638111114501953,
518
+ "learning_rate": 9.952524858113116e-05,
519
+ "loss": 7.2029,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.003023925791226529,
524
+ "grad_norm": 15.820956230163574,
525
+ "learning_rate": 9.951120559509373e-05,
526
+ "loss": 6.6457,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.0030647896532701308,
531
+ "grad_norm": 15.655069351196289,
532
+ "learning_rate": 9.949695895162463e-05,
533
+ "loss": 6.9675,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.003105653515313732,
538
+ "grad_norm": 15.471683502197266,
539
+ "learning_rate": 9.948250870932547e-05,
540
+ "loss": 6.711,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.003146517377357334,
545
+ "grad_norm": 16.202917098999023,
546
+ "learning_rate": 9.94678549276353e-05,
547
+ "loss": 5.8695,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.0031873812394009357,
552
+ "grad_norm": 17.095972061157227,
553
+ "learning_rate": 9.945299766683041e-05,
554
+ "loss": 7.0255,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.0032282451014445375,
559
+ "grad_norm": 13.527962684631348,
560
+ "learning_rate": 9.943793698802407e-05,
561
+ "loss": 5.2299,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.0032691089634881393,
566
+ "grad_norm": 14.281603813171387,
567
+ "learning_rate": 9.942267295316625e-05,
568
+ "loss": 6.2512,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.003309972825531741,
573
+ "grad_norm": 14.560650825500488,
574
+ "learning_rate": 9.940720562504346e-05,
575
+ "loss": 7.0633,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.003350836687575343,
580
+ "grad_norm": 14.220345497131348,
581
+ "learning_rate": 9.939153506727839e-05,
582
+ "loss": 6.0255,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.0033917005496189446,
587
+ "grad_norm": 14.54580020904541,
588
+ "learning_rate": 9.937566134432967e-05,
589
+ "loss": 6.7001,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.0034325644116625464,
594
+ "grad_norm": 13.996087074279785,
595
+ "learning_rate": 9.935958452149168e-05,
596
+ "loss": 6.1261,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.0034734282737061478,
601
+ "grad_norm": 22.87812614440918,
602
+ "learning_rate": 9.934330466489414e-05,
603
+ "loss": 7.9368,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.0035142921357497496,
608
+ "grad_norm": 17.530309677124023,
609
+ "learning_rate": 9.9326821841502e-05,
610
+ "loss": 7.0329,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.0035551559977933514,
615
+ "grad_norm": 14.398816108703613,
616
+ "learning_rate": 9.931013611911505e-05,
617
+ "loss": 5.4819,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.003596019859836953,
622
+ "grad_norm": 17.408000946044922,
623
+ "learning_rate": 9.929324756636766e-05,
624
+ "loss": 6.2423,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.003636883721880555,
629
+ "grad_norm": 19.482257843017578,
630
+ "learning_rate": 9.927615625272856e-05,
631
+ "loss": 7.5902,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.0036777475839241567,
636
+ "grad_norm": 18.543699264526367,
637
+ "learning_rate": 9.925886224850047e-05,
638
+ "loss": 6.5135,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.0037186114459677585,
643
+ "grad_norm": 16.311019897460938,
644
+ "learning_rate": 9.924136562481984e-05,
645
+ "loss": 6.8555,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.0037594753080113603,
650
+ "grad_norm": 22.563644409179688,
651
+ "learning_rate": 9.922366645365663e-05,
652
+ "loss": 7.355,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.003800339170054962,
657
+ "grad_norm": 20.504785537719727,
658
+ "learning_rate": 9.920576480781389e-05,
659
+ "loss": 5.9183,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.0038412030320985635,
664
+ "grad_norm": 25.04275894165039,
665
+ "learning_rate": 9.918766076092754e-05,
666
+ "loss": 6.8876,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.0038820668941421652,
671
+ "grad_norm": 26.663280487060547,
672
+ "learning_rate": 9.916935438746604e-05,
673
+ "loss": 6.1629,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.0039229307561857675,
678
+ "grad_norm": 24.873512268066406,
679
+ "learning_rate": 9.915084576273013e-05,
680
+ "loss": 7.2213,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.003963794618229369,
685
+ "grad_norm": 24.14523696899414,
686
+ "learning_rate": 9.91321349628524e-05,
687
+ "loss": 8.0812,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.00400465848027297,
692
+ "grad_norm": 25.039981842041016,
693
+ "learning_rate": 9.911322206479719e-05,
694
+ "loss": 6.9913,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.004045522342316572,
699
+ "grad_norm": 29.90752601623535,
700
+ "learning_rate": 9.909410714635999e-05,
701
+ "loss": 8.0443,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.004086386204360174,
706
+ "grad_norm": 32.809085845947266,
707
+ "learning_rate": 9.907479028616739e-05,
708
+ "loss": 7.7016,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 0.0041272500664037755,
713
+ "grad_norm": 14.157573699951172,
714
+ "learning_rate": 9.90552715636766e-05,
715
+ "loss": 6.3563,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 0.004168113928447377,
720
+ "grad_norm": 15.851997375488281,
721
+ "learning_rate": 9.903555105917514e-05,
722
+ "loss": 7.8688,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 0.004208977790490979,
727
+ "grad_norm": 15.693613052368164,
728
+ "learning_rate": 9.901562885378057e-05,
729
+ "loss": 6.3947,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 0.004249841652534581,
734
+ "grad_norm": 15.1848726272583,
735
+ "learning_rate": 9.899550502944009e-05,
736
+ "loss": 6.8641,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 0.004290705514578183,
741
+ "grad_norm": 14.605127334594727,
742
+ "learning_rate": 9.897517966893023e-05,
743
+ "loss": 6.8249,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 0.0043315693766217845,
748
+ "grad_norm": 14.972675323486328,
749
+ "learning_rate": 9.895465285585655e-05,
750
+ "loss": 5.3184,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 0.004372433238665386,
755
+ "grad_norm": 12.17654037475586,
756
+ "learning_rate": 9.89339246746532e-05,
757
+ "loss": 5.4645,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 0.004413297100708988,
762
+ "grad_norm": 12.122211456298828,
763
+ "learning_rate": 9.891299521058268e-05,
764
+ "loss": 5.6194,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 0.00445416096275259,
769
+ "grad_norm": 12.825034141540527,
770
+ "learning_rate": 9.889186454973543e-05,
771
+ "loss": 5.8638,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 0.004495024824796192,
776
+ "grad_norm": 12.313605308532715,
777
+ "learning_rate": 9.887053277902942e-05,
778
+ "loss": 5.9993,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 0.0045358886868397934,
783
+ "grad_norm": 16.425357818603516,
784
+ "learning_rate": 9.884899998620998e-05,
785
+ "loss": 7.2859,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 0.004576752548883395,
790
+ "grad_norm": 13.425078392028809,
791
+ "learning_rate": 9.88272662598492e-05,
792
+ "loss": 5.4946,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 0.004617616410926997,
797
+ "grad_norm": 12.7623872756958,
798
+ "learning_rate": 9.880533168934575e-05,
799
+ "loss": 6.1761,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 0.004658480272970599,
804
+ "grad_norm": 15.71284294128418,
805
+ "learning_rate": 9.878319636492441e-05,
806
+ "loss": 6.9623,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 0.004699344135014201,
811
+ "grad_norm": 12.192813873291016,
812
+ "learning_rate": 9.876086037763575e-05,
813
+ "loss": 5.2644,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 0.0047402079970578015,
818
+ "grad_norm": 14.656291007995605,
819
+ "learning_rate": 9.873832381935575e-05,
820
+ "loss": 6.2134,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 0.004781071859101403,
825
+ "grad_norm": 13.87183666229248,
826
+ "learning_rate": 9.871558678278537e-05,
827
+ "loss": 6.0312,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 0.004821935721145005,
832
+ "grad_norm": 14.280610084533691,
833
+ "learning_rate": 9.869264936145027e-05,
834
+ "loss": 6.3556,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 0.004862799583188607,
839
+ "grad_norm": 13.133746147155762,
840
+ "learning_rate": 9.866951164970028e-05,
841
+ "loss": 6.2905,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 0.004903663445232209,
846
+ "grad_norm": 32.18925094604492,
847
+ "learning_rate": 9.86461737427092e-05,
848
+ "loss": 6.5927,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 0.0049445273072758105,
853
+ "grad_norm": 12.16728687286377,
854
+ "learning_rate": 9.862263573647422e-05,
855
+ "loss": 6.272,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 0.004985391169319412,
860
+ "grad_norm": 14.562088966369629,
861
+ "learning_rate": 9.859889772781565e-05,
862
+ "loss": 6.9461,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 0.005026255031363014,
867
+ "grad_norm": 18.74805450439453,
868
+ "learning_rate": 9.857495981437648e-05,
869
+ "loss": 6.2463,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 0.005067118893406616,
874
+ "grad_norm": 19.05704689025879,
875
+ "learning_rate": 9.855082209462197e-05,
876
+ "loss": 7.1299,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 0.005107982755450218,
881
+ "grad_norm": 14.966846466064453,
882
+ "learning_rate": 9.852648466783927e-05,
883
+ "loss": 6.7958,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 0.005148846617493819,
888
+ "grad_norm": 14.65507698059082,
889
+ "learning_rate": 9.850194763413696e-05,
890
+ "loss": 6.9319,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 0.005189710479537421,
895
+ "grad_norm": 13.518552780151367,
896
+ "learning_rate": 9.847721109444473e-05,
897
+ "loss": 5.5841,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 0.005230574341581023,
902
+ "grad_norm": 15.542891502380371,
903
+ "learning_rate": 9.845227515051286e-05,
904
+ "loss": 6.6425,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 0.005271438203624625,
909
+ "grad_norm": 20.072572708129883,
910
+ "learning_rate": 9.84271399049119e-05,
911
+ "loss": 6.2362,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 0.005312302065668227,
916
+ "grad_norm": 15.439754486083984,
917
+ "learning_rate": 9.840180546103215e-05,
918
+ "loss": 7.0394,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 0.005353165927711828,
923
+ "grad_norm": 15.581273078918457,
924
+ "learning_rate": 9.837627192308332e-05,
925
+ "loss": 7.1262,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 0.00539402978975543,
930
+ "grad_norm": 14.833819389343262,
931
+ "learning_rate": 9.835053939609407e-05,
932
+ "loss": 6.9087,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 0.005434893651799032,
937
+ "grad_norm": 15.577768325805664,
938
+ "learning_rate": 9.832460798591151e-05,
939
+ "loss": 5.5607,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 0.005475757513842633,
944
+ "grad_norm": 20.256847381591797,
945
+ "learning_rate": 9.829847779920092e-05,
946
+ "loss": 7.8506,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 0.005516621375886235,
951
+ "grad_norm": 16.520177841186523,
952
+ "learning_rate": 9.827214894344514e-05,
953
+ "loss": 7.1765,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 0.0055574852379298365,
958
+ "grad_norm": 17.26201629638672,
959
+ "learning_rate": 9.824562152694427e-05,
960
+ "loss": 7.3264,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 0.005598349099973438,
965
+ "grad_norm": 18.10712432861328,
966
+ "learning_rate": 9.821889565881514e-05,
967
+ "loss": 8.0457,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 0.00563921296201704,
972
+ "grad_norm": 16.80295181274414,
973
+ "learning_rate": 9.819197144899085e-05,
974
+ "loss": 6.7775,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 0.005680076824060642,
979
+ "grad_norm": 18.972105026245117,
980
+ "learning_rate": 9.816484900822038e-05,
981
+ "loss": 6.746,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 0.005720940686104244,
986
+ "grad_norm": 34.66987228393555,
987
+ "learning_rate": 9.813752844806813e-05,
988
+ "loss": 7.5608,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 0.005761804548147845,
993
+ "grad_norm": 18.763248443603516,
994
+ "learning_rate": 9.811000988091338e-05,
995
+ "loss": 7.1654,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 0.005802668410191447,
1000
+ "grad_norm": 18.545637130737305,
1001
+ "learning_rate": 9.808229341994995e-05,
1002
+ "loss": 7.113,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 0.005843532272235049,
1007
+ "grad_norm": 22.365375518798828,
1008
+ "learning_rate": 9.805437917918559e-05,
1009
+ "loss": 7.0313,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 0.005884396134278651,
1014
+ "grad_norm": 16.55803871154785,
1015
+ "learning_rate": 9.802626727344165e-05,
1016
+ "loss": 6.1085,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 0.0059252599963222526,
1021
+ "grad_norm": 21.393871307373047,
1022
+ "learning_rate": 9.799795781835252e-05,
1023
+ "loss": 7.158,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 0.005966123858365854,
1028
+ "grad_norm": 21.92884063720703,
1029
+ "learning_rate": 9.796945093036523e-05,
1030
+ "loss": 6.3873,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 0.006006987720409456,
1035
+ "grad_norm": 27.711198806762695,
1036
+ "learning_rate": 9.794074672673883e-05,
1037
+ "loss": 6.8561,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 0.006047851582453058,
1042
+ "grad_norm": 23.660367965698242,
1043
+ "learning_rate": 9.791184532554409e-05,
1044
+ "loss": 5.8218,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 0.00608871544449666,
1049
+ "grad_norm": 22.727230072021484,
1050
+ "learning_rate": 9.788274684566289e-05,
1051
+ "loss": 6.5743,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 0.0061295793065402615,
1056
+ "grad_norm": 36.77485275268555,
1057
+ "learning_rate": 9.785345140678775e-05,
1058
+ "loss": 9.6315,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 0.006170443168583862,
1063
+ "grad_norm": 16.30278968811035,
1064
+ "learning_rate": 9.782395912942135e-05,
1065
+ "loss": 7.8331,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 0.006211307030627464,
1070
+ "grad_norm": 11.499253273010254,
1071
+ "learning_rate": 9.77942701348761e-05,
1072
+ "loss": 5.9781,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 0.006252170892671066,
1077
+ "grad_norm": 14.270246505737305,
1078
+ "learning_rate": 9.776438454527351e-05,
1079
+ "loss": 6.5819,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 0.006293034754714668,
1084
+ "grad_norm": 12.351813316345215,
1085
+ "learning_rate": 9.773430248354376e-05,
1086
+ "loss": 5.3348,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 0.00633389861675827,
1091
+ "grad_norm": 14.202811241149902,
1092
+ "learning_rate": 9.770402407342523e-05,
1093
+ "loss": 6.7854,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 0.006374762478801871,
1098
+ "grad_norm": 15.483548164367676,
1099
+ "learning_rate": 9.767354943946395e-05,
1100
+ "loss": 6.5654,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 0.006415626340845473,
1105
+ "grad_norm": 11.232331275939941,
1106
+ "learning_rate": 9.764287870701305e-05,
1107
+ "loss": 5.0283,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 0.006456490202889075,
1112
+ "grad_norm": 9.863425254821777,
1113
+ "learning_rate": 9.761201200223231e-05,
1114
+ "loss": 5.3844,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 0.006497354064932677,
1119
+ "grad_norm": 13.30897045135498,
1120
+ "learning_rate": 9.758094945208763e-05,
1121
+ "loss": 5.4593,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 0.0065382179269762785,
1126
+ "grad_norm": 14.575927734375,
1127
+ "learning_rate": 9.754969118435042e-05,
1128
+ "loss": 6.2094,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 0.00657908178901988,
1133
+ "grad_norm": 13.29054069519043,
1134
+ "learning_rate": 9.751823732759726e-05,
1135
+ "loss": 7.1374,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 0.006619945651063482,
1140
+ "grad_norm": 12.356842994689941,
1141
+ "learning_rate": 9.748658801120916e-05,
1142
+ "loss": 5.864,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 0.006660809513107084,
1147
+ "grad_norm": 14.566633224487305,
1148
+ "learning_rate": 9.745474336537119e-05,
1149
+ "loss": 6.481,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 0.006701673375150686,
1154
+ "grad_norm": 14.574312210083008,
1155
+ "learning_rate": 9.742270352107185e-05,
1156
+ "loss": 6.7697,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 0.0067425372371942875,
1161
+ "grad_norm": 14.898052215576172,
1162
+ "learning_rate": 9.739046861010255e-05,
1163
+ "loss": 7.1438,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 0.006783401099237889,
1168
+ "grad_norm": 16.09490394592285,
1169
+ "learning_rate": 9.735803876505711e-05,
1170
+ "loss": 6.1778,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 0.006824264961281491,
1175
+ "grad_norm": 20.63564682006836,
1176
+ "learning_rate": 9.732541411933115e-05,
1177
+ "loss": 6.2028,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 0.006865128823325093,
1182
+ "grad_norm": 22.837800979614258,
1183
+ "learning_rate": 9.729259480712162e-05,
1184
+ "loss": 6.828,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 0.006905992685368694,
1189
+ "grad_norm": 16.11451530456543,
1190
+ "learning_rate": 9.725958096342616e-05,
1191
+ "loss": 7.4898,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 0.0069468565474122956,
1196
+ "grad_norm": 12.31192398071289,
1197
+ "learning_rate": 9.722637272404262e-05,
1198
+ "loss": 6.4009,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 0.006987720409455897,
1203
+ "grad_norm": 14.875618934631348,
1204
+ "learning_rate": 9.719297022556845e-05,
1205
+ "loss": 6.2035,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 0.007028584271499499,
1210
+ "grad_norm": 13.63744068145752,
1211
+ "learning_rate": 9.715937360540017e-05,
1212
+ "loss": 6.0225,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 0.007069448133543101,
1217
+ "grad_norm": 21.234041213989258,
1218
+ "learning_rate": 9.712558300173279e-05,
1219
+ "loss": 7.4878,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 0.007110311995586703,
1224
+ "grad_norm": 14.23675537109375,
1225
+ "learning_rate": 9.709159855355922e-05,
1226
+ "loss": 6.515,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 0.0071511758576303045,
1231
+ "grad_norm": 17.055084228515625,
1232
+ "learning_rate": 9.705742040066976e-05,
1233
+ "loss": 6.3619,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 0.007192039719673906,
1238
+ "grad_norm": 14.412619590759277,
1239
+ "learning_rate": 9.702304868365147e-05,
1240
+ "loss": 7.1881,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 0.007232903581717508,
1245
+ "grad_norm": 18.581859588623047,
1246
+ "learning_rate": 9.698848354388759e-05,
1247
+ "loss": 6.9419,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 0.00727376744376111,
1252
+ "grad_norm": 13.657668113708496,
1253
+ "learning_rate": 9.695372512355703e-05,
1254
+ "loss": 7.4206,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 0.007314631305804712,
1259
+ "grad_norm": 14.230124473571777,
1260
+ "learning_rate": 9.691877356563366e-05,
1261
+ "loss": 5.8499,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 0.0073554951678483135,
1266
+ "grad_norm": 16.437936782836914,
1267
+ "learning_rate": 9.688362901388586e-05,
1268
+ "loss": 7.6793,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 0.007396359029891915,
1273
+ "grad_norm": 18.00482749938965,
1274
+ "learning_rate": 9.684829161287583e-05,
1275
+ "loss": 7.3289,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 0.007437222891935517,
1280
+ "grad_norm": 17.923187255859375,
1281
+ "learning_rate": 9.681276150795903e-05,
1282
+ "loss": 7.1,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 0.007478086753979119,
1287
+ "grad_norm": 17.70640754699707,
1288
+ "learning_rate": 9.677703884528362e-05,
1289
+ "loss": 7.6045,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 0.007518950616022721,
1294
+ "grad_norm": 13.995911598205566,
1295
+ "learning_rate": 9.674112377178975e-05,
1296
+ "loss": 5.7522,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 0.007559814478066322,
1301
+ "grad_norm": 17.230287551879883,
1302
+ "learning_rate": 9.670501643520905e-05,
1303
+ "loss": 7.014,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 0.007600678340109924,
1308
+ "grad_norm": 17.801237106323242,
1309
+ "learning_rate": 9.666871698406403e-05,
1310
+ "loss": 7.3874,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 0.007641542202153525,
1315
+ "grad_norm": 16.83843421936035,
1316
+ "learning_rate": 9.66322255676674e-05,
1317
+ "loss": 6.0555,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 0.007682406064197127,
1322
+ "grad_norm": 16.625722885131836,
1323
+ "learning_rate": 9.659554233612153e-05,
1324
+ "loss": 6.8826,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 0.007723269926240729,
1329
+ "grad_norm": 13.392539978027344,
1330
+ "learning_rate": 9.655866744031777e-05,
1331
+ "loss": 5.4981,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 0.0077641337882843305,
1336
+ "grad_norm": 15.59808349609375,
1337
+ "learning_rate": 9.652160103193583e-05,
1338
+ "loss": 7.0037,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 0.007804997650327932,
1343
+ "grad_norm": 21.588523864746094,
1344
+ "learning_rate": 9.648434326344322e-05,
1345
+ "loss": 7.1183,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 0.007845861512371535,
1350
+ "grad_norm": 17.634723663330078,
1351
+ "learning_rate": 9.644689428809456e-05,
1352
+ "loss": 6.4932,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 0.007886725374415137,
1357
+ "grad_norm": 18.702896118164062,
1358
+ "learning_rate": 9.640925425993101e-05,
1359
+ "loss": 6.4525,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 0.007927589236458739,
1364
+ "grad_norm": 13.623326301574707,
1365
+ "learning_rate": 9.637142333377953e-05,
1366
+ "loss": 5.2151,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 0.00796845309850234,
1371
+ "grad_norm": 15.406729698181152,
1372
+ "learning_rate": 9.633340166525238e-05,
1373
+ "loss": 6.0974,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 0.00800931696054594,
1378
+ "grad_norm": 18.72486114501953,
1379
+ "learning_rate": 9.629518941074639e-05,
1380
+ "loss": 6.6543,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 0.008050180822589542,
1385
+ "grad_norm": 20.652475357055664,
1386
+ "learning_rate": 9.625678672744232e-05,
1387
+ "loss": 6.4423,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 0.008091044684633144,
1392
+ "grad_norm": 20.862340927124023,
1393
+ "learning_rate": 9.621819377330424e-05,
1394
+ "loss": 6.86,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 0.008131908546676746,
1399
+ "grad_norm": 21.109661102294922,
1400
+ "learning_rate": 9.617941070707889e-05,
1401
+ "loss": 5.8087,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 0.008172772408720348,
1406
+ "grad_norm": 52.470829010009766,
1407
+ "learning_rate": 9.614043768829499e-05,
1408
+ "loss": 9.3251,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 0.00821363627076395,
1413
+ "grad_norm": 10.258379936218262,
1414
+ "learning_rate": 9.610127487726263e-05,
1415
+ "loss": 5.4524,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 0.008254500132807551,
1420
+ "grad_norm": 13.210298538208008,
1421
+ "learning_rate": 9.606192243507254e-05,
1422
+ "loss": 5.9119,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 0.008295363994851153,
1427
+ "grad_norm": 12.499059677124023,
1428
+ "learning_rate": 9.602238052359551e-05,
1429
+ "loss": 5.0512,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 0.008336227856894755,
1434
+ "grad_norm": 10.580381393432617,
1435
+ "learning_rate": 9.598264930548169e-05,
1436
+ "loss": 5.2318,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 0.008377091718938356,
1441
+ "grad_norm": 13.957743644714355,
1442
+ "learning_rate": 9.594272894415986e-05,
1443
+ "loss": 6.543,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 0.008417955580981958,
1448
+ "grad_norm": 13.090479850769043,
1449
+ "learning_rate": 9.590261960383686e-05,
1450
+ "loss": 6.1888,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 0.00845881944302556,
1455
+ "grad_norm": 13.895710945129395,
1456
+ "learning_rate": 9.58623214494969e-05,
1457
+ "loss": 6.2908,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 0.008499683305069162,
1462
+ "grad_norm": 10.926653861999512,
1463
+ "learning_rate": 9.582183464690078e-05,
1464
+ "loss": 5.6924,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 0.008540547167112764,
1469
+ "grad_norm": 13.321636199951172,
1470
+ "learning_rate": 9.578115936258531e-05,
1471
+ "loss": 7.1836,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 0.008581411029156365,
1476
+ "grad_norm": 11.270588874816895,
1477
+ "learning_rate": 9.574029576386261e-05,
1478
+ "loss": 6.0644,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 0.008622274891199967,
1483
+ "grad_norm": 12.152750015258789,
1484
+ "learning_rate": 9.569924401881936e-05,
1485
+ "loss": 5.7929,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 0.008663138753243569,
1490
+ "grad_norm": 13.030095100402832,
1491
+ "learning_rate": 9.565800429631619e-05,
1492
+ "loss": 6.2535,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 0.00870400261528717,
1497
+ "grad_norm": 14.503040313720703,
1498
+ "learning_rate": 9.561657676598698e-05,
1499
+ "loss": 6.5376,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 0.008744866477330773,
1504
+ "grad_norm": 11.103546142578125,
1505
+ "learning_rate": 9.557496159823804e-05,
1506
+ "loss": 5.4463,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 0.008785730339374374,
1511
+ "grad_norm": 10.801084518432617,
1512
+ "learning_rate": 9.553315896424758e-05,
1513
+ "loss": 5.309,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 0.008826594201417976,
1518
+ "grad_norm": 15.308627128601074,
1519
+ "learning_rate": 9.549116903596488e-05,
1520
+ "loss": 7.3242,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 0.008867458063461578,
1525
+ "grad_norm": 14.178114891052246,
1526
+ "learning_rate": 9.544899198610968e-05,
1527
+ "loss": 6.6382,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 0.00890832192550518,
1532
+ "grad_norm": 12.048151969909668,
1533
+ "learning_rate": 9.540662798817137e-05,
1534
+ "loss": 4.8189,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 0.008949185787548782,
1539
+ "grad_norm": 13.001554489135742,
1540
+ "learning_rate": 9.536407721640832e-05,
1541
+ "loss": 6.0842,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 0.008990049649592383,
1546
+ "grad_norm": 13.918134689331055,
1547
+ "learning_rate": 9.532133984584721e-05,
1548
+ "loss": 6.1108,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 0.009030913511635985,
1553
+ "grad_norm": 14.916069030761719,
1554
+ "learning_rate": 9.527841605228224e-05,
1555
+ "loss": 6.9456,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 0.009071777373679587,
1560
+ "grad_norm": 15.989644050598145,
1561
+ "learning_rate": 9.523530601227445e-05,
1562
+ "loss": 6.5354,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 0.009112641235723189,
1567
+ "grad_norm": 15.19133472442627,
1568
+ "learning_rate": 9.519200990315096e-05,
1569
+ "loss": 6.737,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 0.00915350509776679,
1574
+ "grad_norm": 12.79016399383545,
1575
+ "learning_rate": 9.514852790300427e-05,
1576
+ "loss": 7.3384,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 0.009194368959810392,
1581
+ "grad_norm": 13.54174518585205,
1582
+ "learning_rate": 9.510486019069153e-05,
1583
+ "loss": 6.5956,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 0.009235232821853994,
1588
+ "grad_norm": 12.780714988708496,
1589
+ "learning_rate": 9.506100694583378e-05,
1590
+ "loss": 5.4059,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 0.009276096683897596,
1595
+ "grad_norm": 15.604456901550293,
1596
+ "learning_rate": 9.501696834881518e-05,
1597
+ "loss": 7.5434,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 0.009316960545941198,
1602
+ "grad_norm": 13.501986503601074,
1603
+ "learning_rate": 9.49727445807824e-05,
1604
+ "loss": 5.4853,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 0.0093578244079848,
1609
+ "grad_norm": 19.180065155029297,
1610
+ "learning_rate": 9.492833582364371e-05,
1611
+ "loss": 6.7472,
1612
+ "step": 229
1613
+ },
1614
+ {
1615
+ "epoch": 0.009398688270028401,
1616
+ "grad_norm": 14.34424114227295,
1617
+ "learning_rate": 9.488374226006836e-05,
1618
+ "loss": 6.3557,
1619
+ "step": 230
1620
+ },
1621
+ {
1622
+ "epoch": 0.009439552132072001,
1623
+ "grad_norm": 16.343975067138672,
1624
+ "learning_rate": 9.483896407348569e-05,
1625
+ "loss": 6.3415,
1626
+ "step": 231
1627
+ },
1628
+ {
1629
+ "epoch": 0.009480415994115603,
1630
+ "grad_norm": 14.910673141479492,
1631
+ "learning_rate": 9.479400144808457e-05,
1632
+ "loss": 6.0064,
1633
+ "step": 232
1634
+ },
1635
+ {
1636
+ "epoch": 0.009521279856159205,
1637
+ "grad_norm": 14.328391075134277,
1638
+ "learning_rate": 9.474885456881248e-05,
1639
+ "loss": 6.7544,
1640
+ "step": 233
1641
+ },
1642
+ {
1643
+ "epoch": 0.009562143718202807,
1644
+ "grad_norm": 17.46697425842285,
1645
+ "learning_rate": 9.470352362137478e-05,
1646
+ "loss": 6.3016,
1647
+ "step": 234
1648
+ },
1649
+ {
1650
+ "epoch": 0.009603007580246408,
1651
+ "grad_norm": 14.978525161743164,
1652
+ "learning_rate": 9.4658008792234e-05,
1653
+ "loss": 6.0921,
1654
+ "step": 235
1655
+ },
1656
+ {
1657
+ "epoch": 0.00964387144229001,
1658
+ "grad_norm": 14.764670372009277,
1659
+ "learning_rate": 9.461231026860904e-05,
1660
+ "loss": 5.9274,
1661
+ "step": 236
1662
+ },
1663
+ {
1664
+ "epoch": 0.009684735304333612,
1665
+ "grad_norm": 14.451186180114746,
1666
+ "learning_rate": 9.456642823847439e-05,
1667
+ "loss": 6.0484,
1668
+ "step": 237
1669
+ },
1670
+ {
1671
+ "epoch": 0.009725599166377214,
1672
+ "grad_norm": 20.823772430419922,
1673
+ "learning_rate": 9.45203628905594e-05,
1674
+ "loss": 8.1228,
1675
+ "step": 238
1676
+ },
1677
+ {
1678
+ "epoch": 0.009766463028420816,
1679
+ "grad_norm": 22.068574905395508,
1680
+ "learning_rate": 9.447411441434741e-05,
1681
+ "loss": 6.3468,
1682
+ "step": 239
1683
+ },
1684
+ {
1685
+ "epoch": 0.009807326890464417,
1686
+ "grad_norm": 18.896333694458008,
1687
+ "learning_rate": 9.442768300007511e-05,
1688
+ "loss": 7.1779,
1689
+ "step": 240
1690
+ },
1691
+ {
1692
+ "epoch": 0.00984819075250802,
1693
+ "grad_norm": 19.249156951904297,
1694
+ "learning_rate": 9.43810688387316e-05,
1695
+ "loss": 6.4586,
1696
+ "step": 241
1697
+ },
1698
+ {
1699
+ "epoch": 0.009889054614551621,
1700
+ "grad_norm": 17.050535202026367,
1701
+ "learning_rate": 9.433427212205774e-05,
1702
+ "loss": 6.6014,
1703
+ "step": 242
1704
+ },
1705
+ {
1706
+ "epoch": 0.009929918476595223,
1707
+ "grad_norm": 25.83972930908203,
1708
+ "learning_rate": 9.428729304254531e-05,
1709
+ "loss": 6.9396,
1710
+ "step": 243
1711
+ },
1712
+ {
1713
+ "epoch": 0.009970782338638825,
1714
+ "grad_norm": 17.18185806274414,
1715
+ "learning_rate": 9.424013179343617e-05,
1716
+ "loss": 6.1457,
1717
+ "step": 244
1718
+ },
1719
+ {
1720
+ "epoch": 0.010011646200682426,
1721
+ "grad_norm": 22.017518997192383,
1722
+ "learning_rate": 9.419278856872155e-05,
1723
+ "loss": 5.9994,
1724
+ "step": 245
1725
+ },
1726
+ {
1727
+ "epoch": 0.010052510062726028,
1728
+ "grad_norm": 24.557111740112305,
1729
+ "learning_rate": 9.414526356314117e-05,
1730
+ "loss": 7.577,
1731
+ "step": 246
1732
+ },
1733
+ {
1734
+ "epoch": 0.01009337392476963,
1735
+ "grad_norm": 25.834148406982422,
1736
+ "learning_rate": 9.409755697218253e-05,
1737
+ "loss": 7.0775,
1738
+ "step": 247
1739
+ },
1740
+ {
1741
+ "epoch": 0.010134237786813232,
1742
+ "grad_norm": 19.930910110473633,
1743
+ "learning_rate": 9.404966899208003e-05,
1744
+ "loss": 6.1123,
1745
+ "step": 248
1746
+ },
1747
+ {
1748
+ "epoch": 0.010175101648856833,
1749
+ "grad_norm": 23.818077087402344,
1750
+ "learning_rate": 9.400159981981418e-05,
1751
+ "loss": 6.1753,
1752
+ "step": 249
1753
+ },
1754
+ {
1755
+ "epoch": 0.010215965510900435,
1756
+ "grad_norm": 31.135684967041016,
1757
+ "learning_rate": 9.39533496531108e-05,
1758
+ "loss": 7.5009,
1759
+ "step": 250
1760
+ },
1761
+ {
1762
+ "epoch": 0.010256829372944037,
1763
+ "grad_norm": 13.721549034118652,
1764
+ "learning_rate": 9.390491869044024e-05,
1765
+ "loss": 6.5444,
1766
+ "step": 251
1767
+ },
1768
+ {
1769
+ "epoch": 0.010297693234987639,
1770
+ "grad_norm": 12.433771133422852,
1771
+ "learning_rate": 9.385630713101649e-05,
1772
+ "loss": 6.7709,
1773
+ "step": 252
1774
+ },
1775
+ {
1776
+ "epoch": 0.01033855709703124,
1777
+ "grad_norm": 12.28031063079834,
1778
+ "learning_rate": 9.38075151747964e-05,
1779
+ "loss": 5.4516,
1780
+ "step": 253
1781
+ },
1782
+ {
1783
+ "epoch": 0.010379420959074842,
1784
+ "grad_norm": 12.136971473693848,
1785
+ "learning_rate": 9.375854302247889e-05,
1786
+ "loss": 6.0733,
1787
+ "step": 254
1788
+ },
1789
+ {
1790
+ "epoch": 0.010420284821118444,
1791
+ "grad_norm": 13.550774574279785,
1792
+ "learning_rate": 9.370939087550405e-05,
1793
+ "loss": 6.0526,
1794
+ "step": 255
1795
+ },
1796
+ {
1797
+ "epoch": 0.010461148683162046,
1798
+ "grad_norm": 12.804445266723633,
1799
+ "learning_rate": 9.36600589360524e-05,
1800
+ "loss": 6.3769,
1801
+ "step": 256
1802
+ },
1803
+ {
1804
+ "epoch": 0.010502012545205648,
1805
+ "grad_norm": 12.12086296081543,
1806
+ "learning_rate": 9.361054740704398e-05,
1807
+ "loss": 6.3975,
1808
+ "step": 257
1809
+ },
1810
+ {
1811
+ "epoch": 0.01054287640724925,
1812
+ "grad_norm": 12.262513160705566,
1813
+ "learning_rate": 9.356085649213755e-05,
1814
+ "loss": 6.0431,
1815
+ "step": 258
1816
+ },
1817
+ {
1818
+ "epoch": 0.010583740269292851,
1819
+ "grad_norm": 12.090657234191895,
1820
+ "learning_rate": 9.351098639572972e-05,
1821
+ "loss": 6.4593,
1822
+ "step": 259
1823
+ },
1824
+ {
1825
+ "epoch": 0.010624604131336453,
1826
+ "grad_norm": 12.461016654968262,
1827
+ "learning_rate": 9.346093732295423e-05,
1828
+ "loss": 6.9296,
1829
+ "step": 260
1830
+ },
1831
+ {
1832
+ "epoch": 0.010665467993380055,
1833
+ "grad_norm": 14.135153770446777,
1834
+ "learning_rate": 9.341070947968089e-05,
1835
+ "loss": 6.1179,
1836
+ "step": 261
1837
+ },
1838
+ {
1839
+ "epoch": 0.010706331855423657,
1840
+ "grad_norm": 13.785672187805176,
1841
+ "learning_rate": 9.336030307251495e-05,
1842
+ "loss": 7.1686,
1843
+ "step": 262
1844
+ },
1845
+ {
1846
+ "epoch": 0.010747195717467259,
1847
+ "grad_norm": 14.264972686767578,
1848
+ "learning_rate": 9.330971830879614e-05,
1849
+ "loss": 6.9697,
1850
+ "step": 263
1851
+ },
1852
+ {
1853
+ "epoch": 0.01078805957951086,
1854
+ "grad_norm": 14.527408599853516,
1855
+ "learning_rate": 9.32589553965978e-05,
1856
+ "loss": 6.6708,
1857
+ "step": 264
1858
+ },
1859
+ {
1860
+ "epoch": 0.010828923441554462,
1861
+ "grad_norm": 12.697749137878418,
1862
+ "learning_rate": 9.320801454472608e-05,
1863
+ "loss": 6.1965,
1864
+ "step": 265
1865
+ },
1866
+ {
1867
+ "epoch": 0.010869787303598064,
1868
+ "grad_norm": 11.870662689208984,
1869
+ "learning_rate": 9.315689596271908e-05,
1870
+ "loss": 5.8277,
1871
+ "step": 266
1872
+ },
1873
+ {
1874
+ "epoch": 0.010910651165641664,
1875
+ "grad_norm": 12.278385162353516,
1876
+ "learning_rate": 9.310559986084594e-05,
1877
+ "loss": 6.4373,
1878
+ "step": 267
1879
+ },
1880
+ {
1881
+ "epoch": 0.010951515027685266,
1882
+ "grad_norm": 12.940865516662598,
1883
+ "learning_rate": 9.305412645010605e-05,
1884
+ "loss": 5.9068,
1885
+ "step": 268
1886
+ },
1887
+ {
1888
+ "epoch": 0.010992378889728868,
1889
+ "grad_norm": 19.228952407836914,
1890
+ "learning_rate": 9.300247594222804e-05,
1891
+ "loss": 6.7197,
1892
+ "step": 269
1893
+ },
1894
+ {
1895
+ "epoch": 0.01103324275177247,
1896
+ "grad_norm": 13.695125579833984,
1897
+ "learning_rate": 9.29506485496691e-05,
1898
+ "loss": 6.504,
1899
+ "step": 270
1900
+ },
1901
+ {
1902
+ "epoch": 0.011074106613816071,
1903
+ "grad_norm": 15.966194152832031,
1904
+ "learning_rate": 9.289864448561394e-05,
1905
+ "loss": 6.5165,
1906
+ "step": 271
1907
+ },
1908
+ {
1909
+ "epoch": 0.011114970475859673,
1910
+ "grad_norm": 12.456382751464844,
1911
+ "learning_rate": 9.284646396397406e-05,
1912
+ "loss": 5.1311,
1913
+ "step": 272
1914
+ },
1915
+ {
1916
+ "epoch": 0.011155834337903275,
1917
+ "grad_norm": 14.079570770263672,
1918
+ "learning_rate": 9.279410719938673e-05,
1919
+ "loss": 5.6548,
1920
+ "step": 273
1921
+ },
1922
+ {
1923
+ "epoch": 0.011196698199946876,
1924
+ "grad_norm": 15.152005195617676,
1925
+ "learning_rate": 9.274157440721419e-05,
1926
+ "loss": 6.5701,
1927
+ "step": 274
1928
+ },
1929
+ {
1930
+ "epoch": 0.011237562061990478,
1931
+ "grad_norm": 14.330810546875,
1932
+ "learning_rate": 9.268886580354273e-05,
1933
+ "loss": 6.8853,
1934
+ "step": 275
1935
+ },
1936
+ {
1937
+ "epoch": 0.01127842592403408,
1938
+ "grad_norm": 16.78351402282715,
1939
+ "learning_rate": 9.263598160518186e-05,
1940
+ "loss": 6.6548,
1941
+ "step": 276
1942
+ },
1943
+ {
1944
+ "epoch": 0.011319289786077682,
1945
+ "grad_norm": 13.835537910461426,
1946
+ "learning_rate": 9.258292202966333e-05,
1947
+ "loss": 5.5245,
1948
+ "step": 277
1949
+ },
1950
+ {
1951
+ "epoch": 0.011360153648121284,
1952
+ "grad_norm": 13.058305740356445,
1953
+ "learning_rate": 9.252968729524031e-05,
1954
+ "loss": 5.0774,
1955
+ "step": 278
1956
+ },
1957
+ {
1958
+ "epoch": 0.011401017510164885,
1959
+ "grad_norm": 28.719289779663086,
1960
+ "learning_rate": 9.247627762088643e-05,
1961
+ "loss": 7.8642,
1962
+ "step": 279
1963
+ },
1964
+ {
1965
+ "epoch": 0.011441881372208487,
1966
+ "grad_norm": 18.289936065673828,
1967
+ "learning_rate": 9.242269322629495e-05,
1968
+ "loss": 6.0802,
1969
+ "step": 280
1970
+ },
1971
+ {
1972
+ "epoch": 0.011482745234252089,
1973
+ "grad_norm": 17.574129104614258,
1974
+ "learning_rate": 9.236893433187777e-05,
1975
+ "loss": 7.0344,
1976
+ "step": 281
1977
+ },
1978
+ {
1979
+ "epoch": 0.01152360909629569,
1980
+ "grad_norm": 16.07065773010254,
1981
+ "learning_rate": 9.231500115876461e-05,
1982
+ "loss": 6.1134,
1983
+ "step": 282
1984
+ },
1985
+ {
1986
+ "epoch": 0.011564472958339293,
1987
+ "grad_norm": 23.54433822631836,
1988
+ "learning_rate": 9.226089392880206e-05,
1989
+ "loss": 6.2945,
1990
+ "step": 283
1991
+ },
1992
+ {
1993
+ "epoch": 0.011605336820382894,
1994
+ "grad_norm": 15.165502548217773,
1995
+ "learning_rate": 9.220661286455264e-05,
1996
+ "loss": 5.9368,
1997
+ "step": 284
1998
+ },
1999
+ {
2000
+ "epoch": 0.011646200682426496,
2001
+ "grad_norm": 17.532302856445312,
2002
+ "learning_rate": 9.215215818929392e-05,
2003
+ "loss": 7.3923,
2004
+ "step": 285
2005
+ },
2006
+ {
2007
+ "epoch": 0.011687064544470098,
2008
+ "grad_norm": 14.813886642456055,
2009
+ "learning_rate": 9.209753012701764e-05,
2010
+ "loss": 5.4034,
2011
+ "step": 286
2012
+ },
2013
+ {
2014
+ "epoch": 0.0117279284065137,
2015
+ "grad_norm": 14.954307556152344,
2016
+ "learning_rate": 9.204272890242866e-05,
2017
+ "loss": 7.0381,
2018
+ "step": 287
2019
+ },
2020
+ {
2021
+ "epoch": 0.011768792268557302,
2022
+ "grad_norm": 15.881797790527344,
2023
+ "learning_rate": 9.19877547409442e-05,
2024
+ "loss": 6.0234,
2025
+ "step": 288
2026
+ },
2027
+ {
2028
+ "epoch": 0.011809656130600903,
2029
+ "grad_norm": 16.021188735961914,
2030
+ "learning_rate": 9.193260786869281e-05,
2031
+ "loss": 6.2578,
2032
+ "step": 289
2033
+ },
2034
+ {
2035
+ "epoch": 0.011850519992644505,
2036
+ "grad_norm": 17.150177001953125,
2037
+ "learning_rate": 9.18772885125134e-05,
2038
+ "loss": 5.8906,
2039
+ "step": 290
2040
+ },
2041
+ {
2042
+ "epoch": 0.011891383854688107,
2043
+ "grad_norm": 15.94199275970459,
2044
+ "learning_rate": 9.182179689995447e-05,
2045
+ "loss": 6.2107,
2046
+ "step": 291
2047
+ },
2048
+ {
2049
+ "epoch": 0.011932247716731709,
2050
+ "grad_norm": 16.82688331604004,
2051
+ "learning_rate": 9.176613325927298e-05,
2052
+ "loss": 6.5315,
2053
+ "step": 292
2054
+ },
2055
+ {
2056
+ "epoch": 0.01197311157877531,
2057
+ "grad_norm": 27.945167541503906,
2058
+ "learning_rate": 9.171029781943357e-05,
2059
+ "loss": 6.7607,
2060
+ "step": 293
2061
+ },
2062
+ {
2063
+ "epoch": 0.012013975440818912,
2064
+ "grad_norm": 21.483531951904297,
2065
+ "learning_rate": 9.16542908101075e-05,
2066
+ "loss": 8.4702,
2067
+ "step": 294
2068
+ },
2069
+ {
2070
+ "epoch": 0.012054839302862514,
2071
+ "grad_norm": 17.964195251464844,
2072
+ "learning_rate": 9.159811246167181e-05,
2073
+ "loss": 6.2181,
2074
+ "step": 295
2075
+ },
2076
+ {
2077
+ "epoch": 0.012095703164906116,
2078
+ "grad_norm": 16.953454971313477,
2079
+ "learning_rate": 9.154176300520829e-05,
2080
+ "loss": 6.9425,
2081
+ "step": 296
2082
+ },
2083
+ {
2084
+ "epoch": 0.012136567026949718,
2085
+ "grad_norm": 21.33991050720215,
2086
+ "learning_rate": 9.148524267250256e-05,
2087
+ "loss": 6.8474,
2088
+ "step": 297
2089
+ },
2090
+ {
2091
+ "epoch": 0.01217743088899332,
2092
+ "grad_norm": 22.513446807861328,
2093
+ "learning_rate": 9.142855169604309e-05,
2094
+ "loss": 6.7673,
2095
+ "step": 298
2096
+ },
2097
+ {
2098
+ "epoch": 0.012218294751036921,
2099
+ "grad_norm": 21.369958877563477,
2100
+ "learning_rate": 9.137169030902036e-05,
2101
+ "loss": 7.0022,
2102
+ "step": 299
2103
+ },
2104
+ {
2105
+ "epoch": 0.012259158613080523,
2106
+ "grad_norm": 21.280765533447266,
2107
+ "learning_rate": 9.131465874532568e-05,
2108
+ "loss": 7.1624,
2109
+ "step": 300
2110
+ },
2111
+ {
2112
+ "epoch": 0.012300022475124125,
2113
+ "grad_norm": 12.105696678161621,
2114
+ "learning_rate": 9.125745723955045e-05,
2115
+ "loss": 6.1169,
2116
+ "step": 301
2117
+ },
2118
+ {
2119
+ "epoch": 0.012340886337167725,
2120
+ "grad_norm": 13.19536018371582,
2121
+ "learning_rate": 9.120008602698508e-05,
2122
+ "loss": 6.6732,
2123
+ "step": 302
2124
+ },
2125
+ {
2126
+ "epoch": 0.012381750199211327,
2127
+ "grad_norm": 11.505049705505371,
2128
+ "learning_rate": 9.114254534361803e-05,
2129
+ "loss": 5.8818,
2130
+ "step": 303
2131
+ },
2132
+ {
2133
+ "epoch": 0.012422614061254928,
2134
+ "grad_norm": 12.840928077697754,
2135
+ "learning_rate": 9.108483542613491e-05,
2136
+ "loss": 5.8127,
2137
+ "step": 304
2138
+ },
2139
+ {
2140
+ "epoch": 0.01246347792329853,
2141
+ "grad_norm": 13.485807418823242,
2142
+ "learning_rate": 9.102695651191737e-05,
2143
+ "loss": 5.8549,
2144
+ "step": 305
2145
+ },
2146
+ {
2147
+ "epoch": 0.012504341785342132,
2148
+ "grad_norm": 14.3336763381958,
2149
+ "learning_rate": 9.096890883904223e-05,
2150
+ "loss": 6.4981,
2151
+ "step": 306
2152
+ },
2153
+ {
2154
+ "epoch": 0.012545205647385734,
2155
+ "grad_norm": 13.247648239135742,
2156
+ "learning_rate": 9.091069264628052e-05,
2157
+ "loss": 6.1635,
2158
+ "step": 307
2159
+ },
2160
+ {
2161
+ "epoch": 0.012586069509429336,
2162
+ "grad_norm": 18.788253784179688,
2163
+ "learning_rate": 9.085230817309642e-05,
2164
+ "loss": 6.6331,
2165
+ "step": 308
2166
+ },
2167
+ {
2168
+ "epoch": 0.012626933371472937,
2169
+ "grad_norm": 16.10300064086914,
2170
+ "learning_rate": 9.079375565964629e-05,
2171
+ "loss": 6.9041,
2172
+ "step": 309
2173
+ },
2174
+ {
2175
+ "epoch": 0.01266779723351654,
2176
+ "grad_norm": 13.573219299316406,
2177
+ "learning_rate": 9.073503534677771e-05,
2178
+ "loss": 6.8875,
2179
+ "step": 310
2180
+ },
2181
+ {
2182
+ "epoch": 0.012708661095560141,
2183
+ "grad_norm": 13.871342658996582,
2184
+ "learning_rate": 9.067614747602852e-05,
2185
+ "loss": 6.5321,
2186
+ "step": 311
2187
+ },
2188
+ {
2189
+ "epoch": 0.012749524957603743,
2190
+ "grad_norm": 14.61474323272705,
2191
+ "learning_rate": 9.061709228962576e-05,
2192
+ "loss": 5.843,
2193
+ "step": 312
2194
+ },
2195
+ {
2196
+ "epoch": 0.012790388819647345,
2197
+ "grad_norm": 15.99639892578125,
2198
+ "learning_rate": 9.055787003048466e-05,
2199
+ "loss": 5.9015,
2200
+ "step": 313
2201
+ },
2202
+ {
2203
+ "epoch": 0.012831252681690946,
2204
+ "grad_norm": 17.16404914855957,
2205
+ "learning_rate": 9.049848094220773e-05,
2206
+ "loss": 6.125,
2207
+ "step": 314
2208
+ },
2209
+ {
2210
+ "epoch": 0.012872116543734548,
2211
+ "grad_norm": 21.616313934326172,
2212
+ "learning_rate": 9.043892526908369e-05,
2213
+ "loss": 7.4149,
2214
+ "step": 315
2215
+ },
2216
+ {
2217
+ "epoch": 0.01291298040577815,
2218
+ "grad_norm": 14.225442886352539,
2219
+ "learning_rate": 9.037920325608649e-05,
2220
+ "loss": 6.0499,
2221
+ "step": 316
2222
+ },
2223
+ {
2224
+ "epoch": 0.012953844267821752,
2225
+ "grad_norm": 17.34297752380371,
2226
+ "learning_rate": 9.03193151488743e-05,
2227
+ "loss": 7.3117,
2228
+ "step": 317
2229
+ },
2230
+ {
2231
+ "epoch": 0.012994708129865353,
2232
+ "grad_norm": 14.32167911529541,
2233
+ "learning_rate": 9.025926119378847e-05,
2234
+ "loss": 6.0548,
2235
+ "step": 318
2236
+ },
2237
+ {
2238
+ "epoch": 0.013035571991908955,
2239
+ "grad_norm": 15.502433776855469,
2240
+ "learning_rate": 9.019904163785257e-05,
2241
+ "loss": 5.9465,
2242
+ "step": 319
2243
+ },
2244
+ {
2245
+ "epoch": 0.013076435853952557,
2246
+ "grad_norm": 16.106304168701172,
2247
+ "learning_rate": 9.013865672877134e-05,
2248
+ "loss": 6.2242,
2249
+ "step": 320
2250
+ },
2251
+ {
2252
+ "epoch": 0.013117299715996159,
2253
+ "grad_norm": 15.240400314331055,
2254
+ "learning_rate": 9.007810671492966e-05,
2255
+ "loss": 7.162,
2256
+ "step": 321
2257
+ },
2258
+ {
2259
+ "epoch": 0.01315816357803976,
2260
+ "grad_norm": 14.79165267944336,
2261
+ "learning_rate": 9.001739184539156e-05,
2262
+ "loss": 6.4293,
2263
+ "step": 322
2264
+ },
2265
+ {
2266
+ "epoch": 0.013199027440083362,
2267
+ "grad_norm": 15.2999849319458,
2268
+ "learning_rate": 8.99565123698992e-05,
2269
+ "loss": 6.9258,
2270
+ "step": 323
2271
+ },
2272
+ {
2273
+ "epoch": 0.013239891302126964,
2274
+ "grad_norm": 13.13878059387207,
2275
+ "learning_rate": 8.989546853887177e-05,
2276
+ "loss": 6.8198,
2277
+ "step": 324
2278
+ },
2279
+ {
2280
+ "epoch": 0.013280755164170566,
2281
+ "grad_norm": 16.574934005737305,
2282
+ "learning_rate": 8.983426060340459e-05,
2283
+ "loss": 7.6539,
2284
+ "step": 325
2285
+ },
2286
+ {
2287
+ "epoch": 0.013321619026214168,
2288
+ "grad_norm": 13.789299964904785,
2289
+ "learning_rate": 8.977288881526791e-05,
2290
+ "loss": 5.8356,
2291
+ "step": 326
2292
+ },
2293
+ {
2294
+ "epoch": 0.01336248288825777,
2295
+ "grad_norm": 13.275775909423828,
2296
+ "learning_rate": 8.971135342690604e-05,
2297
+ "loss": 5.7641,
2298
+ "step": 327
2299
+ },
2300
+ {
2301
+ "epoch": 0.013403346750301371,
2302
+ "grad_norm": 15.172074317932129,
2303
+ "learning_rate": 8.964965469143618e-05,
2304
+ "loss": 7.4037,
2305
+ "step": 328
2306
+ },
2307
+ {
2308
+ "epoch": 0.013444210612344973,
2309
+ "grad_norm": 14.117846488952637,
2310
+ "learning_rate": 8.95877928626475e-05,
2311
+ "loss": 6.2307,
2312
+ "step": 329
2313
+ },
2314
+ {
2315
+ "epoch": 0.013485074474388575,
2316
+ "grad_norm": 15.833907127380371,
2317
+ "learning_rate": 8.952576819499998e-05,
2318
+ "loss": 6.7644,
2319
+ "step": 330
2320
+ },
2321
+ {
2322
+ "epoch": 0.013525938336432177,
2323
+ "grad_norm": 36.139404296875,
2324
+ "learning_rate": 8.946358094362344e-05,
2325
+ "loss": 6.5228,
2326
+ "step": 331
2327
+ },
2328
+ {
2329
+ "epoch": 0.013566802198475779,
2330
+ "grad_norm": 13.170965194702148,
2331
+ "learning_rate": 8.940123136431645e-05,
2332
+ "loss": 5.3543,
2333
+ "step": 332
2334
+ },
2335
+ {
2336
+ "epoch": 0.01360766606051938,
2337
+ "grad_norm": 15.941726684570312,
2338
+ "learning_rate": 8.933871971354529e-05,
2339
+ "loss": 7.6215,
2340
+ "step": 333
2341
+ },
2342
+ {
2343
+ "epoch": 0.013648529922562982,
2344
+ "grad_norm": 15.199174880981445,
2345
+ "learning_rate": 8.927604624844292e-05,
2346
+ "loss": 5.7218,
2347
+ "step": 334
2348
+ },
2349
+ {
2350
+ "epoch": 0.013689393784606584,
2351
+ "grad_norm": 13.402868270874023,
2352
+ "learning_rate": 8.921321122680788e-05,
2353
+ "loss": 5.9142,
2354
+ "step": 335
2355
+ },
2356
+ {
2357
+ "epoch": 0.013730257646650186,
2358
+ "grad_norm": 17.45403480529785,
2359
+ "learning_rate": 8.915021490710326e-05,
2360
+ "loss": 6.2388,
2361
+ "step": 336
2362
+ },
2363
+ {
2364
+ "epoch": 0.013771121508693787,
2365
+ "grad_norm": 13.131780624389648,
2366
+ "learning_rate": 8.908705754845563e-05,
2367
+ "loss": 5.7358,
2368
+ "step": 337
2369
+ },
2370
+ {
2371
+ "epoch": 0.013811985370737388,
2372
+ "grad_norm": 21.07666778564453,
2373
+ "learning_rate": 8.902373941065397e-05,
2374
+ "loss": 6.0878,
2375
+ "step": 338
2376
+ },
2377
+ {
2378
+ "epoch": 0.01385284923278099,
2379
+ "grad_norm": 16.573720932006836,
2380
+ "learning_rate": 8.896026075414858e-05,
2381
+ "loss": 6.4805,
2382
+ "step": 339
2383
+ },
2384
+ {
2385
+ "epoch": 0.013893713094824591,
2386
+ "grad_norm": 17.990293502807617,
2387
+ "learning_rate": 8.889662184005007e-05,
2388
+ "loss": 6.0373,
2389
+ "step": 340
2390
+ },
2391
+ {
2392
+ "epoch": 0.013934576956868193,
2393
+ "grad_norm": 16.1629581451416,
2394
+ "learning_rate": 8.883282293012824e-05,
2395
+ "loss": 6.3638,
2396
+ "step": 341
2397
+ },
2398
+ {
2399
+ "epoch": 0.013975440818911795,
2400
+ "grad_norm": 15.962685585021973,
2401
+ "learning_rate": 8.876886428681097e-05,
2402
+ "loss": 5.6468,
2403
+ "step": 342
2404
+ },
2405
+ {
2406
+ "epoch": 0.014016304680955396,
2407
+ "grad_norm": 15.806046485900879,
2408
+ "learning_rate": 8.870474617318323e-05,
2409
+ "loss": 5.9261,
2410
+ "step": 343
2411
+ },
2412
+ {
2413
+ "epoch": 0.014057168542998998,
2414
+ "grad_norm": 16.13351058959961,
2415
+ "learning_rate": 8.864046885298591e-05,
2416
+ "loss": 5.4726,
2417
+ "step": 344
2418
+ },
2419
+ {
2420
+ "epoch": 0.0140980324050426,
2421
+ "grad_norm": 19.852676391601562,
2422
+ "learning_rate": 8.85760325906148e-05,
2423
+ "loss": 6.4975,
2424
+ "step": 345
2425
+ },
2426
+ {
2427
+ "epoch": 0.014138896267086202,
2428
+ "grad_norm": 20.317991256713867,
2429
+ "learning_rate": 8.85114376511195e-05,
2430
+ "loss": 7.201,
2431
+ "step": 346
2432
+ },
2433
+ {
2434
+ "epoch": 0.014179760129129804,
2435
+ "grad_norm": 28.479278564453125,
2436
+ "learning_rate": 8.844668430020222e-05,
2437
+ "loss": 8.2285,
2438
+ "step": 347
2439
+ },
2440
+ {
2441
+ "epoch": 0.014220623991173405,
2442
+ "grad_norm": 19.233919143676758,
2443
+ "learning_rate": 8.838177280421684e-05,
2444
+ "loss": 7.8013,
2445
+ "step": 348
2446
+ },
2447
+ {
2448
+ "epoch": 0.014261487853217007,
2449
+ "grad_norm": 21.015350341796875,
2450
+ "learning_rate": 8.831670343016778e-05,
2451
+ "loss": 6.5326,
2452
+ "step": 349
2453
+ },
2454
+ {
2455
+ "epoch": 0.014302351715260609,
2456
+ "grad_norm": 31.803945541381836,
2457
+ "learning_rate": 8.825147644570879e-05,
2458
+ "loss": 7.9139,
2459
+ "step": 350
2460
+ },
2461
+ {
2462
+ "epoch": 0.01434321557730421,
2463
+ "grad_norm": 11.69941520690918,
2464
+ "learning_rate": 8.818609211914197e-05,
2465
+ "loss": 6.2581,
2466
+ "step": 351
2467
+ },
2468
+ {
2469
+ "epoch": 0.014384079439347813,
2470
+ "grad_norm": 11.810105323791504,
2471
+ "learning_rate": 8.812055071941663e-05,
2472
+ "loss": 6.338,
2473
+ "step": 352
2474
+ },
2475
+ {
2476
+ "epoch": 0.014424943301391414,
2477
+ "grad_norm": 13.202411651611328,
2478
+ "learning_rate": 8.805485251612813e-05,
2479
+ "loss": 6.4457,
2480
+ "step": 353
2481
+ },
2482
+ {
2483
+ "epoch": 0.014465807163435016,
2484
+ "grad_norm": 15.12958812713623,
2485
+ "learning_rate": 8.79889977795169e-05,
2486
+ "loss": 6.5046,
2487
+ "step": 354
2488
+ },
2489
+ {
2490
+ "epoch": 0.014506671025478618,
2491
+ "grad_norm": 11.190995216369629,
2492
+ "learning_rate": 8.79229867804672e-05,
2493
+ "loss": 5.6477,
2494
+ "step": 355
2495
+ },
2496
+ {
2497
+ "epoch": 0.01454753488752222,
2498
+ "grad_norm": 12.42231273651123,
2499
+ "learning_rate": 8.785681979050602e-05,
2500
+ "loss": 5.931,
2501
+ "step": 356
2502
+ },
2503
+ {
2504
+ "epoch": 0.014588398749565822,
2505
+ "grad_norm": 13.565031051635742,
2506
+ "learning_rate": 8.779049708180207e-05,
2507
+ "loss": 6.558,
2508
+ "step": 357
2509
+ },
2510
+ {
2511
+ "epoch": 0.014629262611609423,
2512
+ "grad_norm": 12.804165840148926,
2513
+ "learning_rate": 8.772401892716455e-05,
2514
+ "loss": 6.2798,
2515
+ "step": 358
2516
+ },
2517
+ {
2518
+ "epoch": 0.014670126473653025,
2519
+ "grad_norm": 15.116120338439941,
2520
+ "learning_rate": 8.765738560004207e-05,
2521
+ "loss": 7.1642,
2522
+ "step": 359
2523
+ },
2524
+ {
2525
+ "epoch": 0.014710990335696627,
2526
+ "grad_norm": 10.878889083862305,
2527
+ "learning_rate": 8.759059737452149e-05,
2528
+ "loss": 5.3341,
2529
+ "step": 360
2530
+ },
2531
+ {
2532
+ "epoch": 0.014751854197740229,
2533
+ "grad_norm": 13.265491485595703,
2534
+ "learning_rate": 8.752365452532689e-05,
2535
+ "loss": 5.5701,
2536
+ "step": 361
2537
+ },
2538
+ {
2539
+ "epoch": 0.01479271805978383,
2540
+ "grad_norm": 13.64254093170166,
2541
+ "learning_rate": 8.74565573278183e-05,
2542
+ "loss": 6.1891,
2543
+ "step": 362
2544
+ },
2545
+ {
2546
+ "epoch": 0.014833581921827432,
2547
+ "grad_norm": 11.30701732635498,
2548
+ "learning_rate": 8.738930605799069e-05,
2549
+ "loss": 6.0558,
2550
+ "step": 363
2551
+ },
2552
+ {
2553
+ "epoch": 0.014874445783871034,
2554
+ "grad_norm": 12.535035133361816,
2555
+ "learning_rate": 8.732190099247277e-05,
2556
+ "loss": 6.8535,
2557
+ "step": 364
2558
+ },
2559
+ {
2560
+ "epoch": 0.014915309645914636,
2561
+ "grad_norm": 12.90744686126709,
2562
+ "learning_rate": 8.725434240852585e-05,
2563
+ "loss": 5.9282,
2564
+ "step": 365
2565
+ },
2566
+ {
2567
+ "epoch": 0.014956173507958238,
2568
+ "grad_norm": 13.355973243713379,
2569
+ "learning_rate": 8.718663058404277e-05,
2570
+ "loss": 6.1722,
2571
+ "step": 366
2572
+ },
2573
+ {
2574
+ "epoch": 0.01499703737000184,
2575
+ "grad_norm": 15.44559097290039,
2576
+ "learning_rate": 8.711876579754663e-05,
2577
+ "loss": 7.0216,
2578
+ "step": 367
2579
+ },
2580
+ {
2581
+ "epoch": 0.015037901232045441,
2582
+ "grad_norm": 11.964495658874512,
2583
+ "learning_rate": 8.705074832818977e-05,
2584
+ "loss": 5.5576,
2585
+ "step": 368
2586
+ },
2587
+ {
2588
+ "epoch": 0.015078765094089043,
2589
+ "grad_norm": 15.331159591674805,
2590
+ "learning_rate": 8.698257845575255e-05,
2591
+ "loss": 6.7291,
2592
+ "step": 369
2593
+ },
2594
+ {
2595
+ "epoch": 0.015119628956132645,
2596
+ "grad_norm": 17.661767959594727,
2597
+ "learning_rate": 8.691425646064222e-05,
2598
+ "loss": 7.2161,
2599
+ "step": 370
2600
+ },
2601
+ {
2602
+ "epoch": 0.015160492818176247,
2603
+ "grad_norm": 13.057313919067383,
2604
+ "learning_rate": 8.684578262389179e-05,
2605
+ "loss": 6.1985,
2606
+ "step": 371
2607
+ },
2608
+ {
2609
+ "epoch": 0.015201356680219848,
2610
+ "grad_norm": 11.956735610961914,
2611
+ "learning_rate": 8.677715722715878e-05,
2612
+ "loss": 5.1447,
2613
+ "step": 372
2614
+ },
2615
+ {
2616
+ "epoch": 0.015242220542263448,
2617
+ "grad_norm": 12.75511360168457,
2618
+ "learning_rate": 8.670838055272422e-05,
2619
+ "loss": 5.63,
2620
+ "step": 373
2621
+ },
2622
+ {
2623
+ "epoch": 0.01528308440430705,
2624
+ "grad_norm": 11.913833618164062,
2625
+ "learning_rate": 8.663945288349134e-05,
2626
+ "loss": 5.7201,
2627
+ "step": 374
2628
+ },
2629
+ {
2630
+ "epoch": 0.015323948266350652,
2631
+ "grad_norm": 12.547759056091309,
2632
+ "learning_rate": 8.657037450298448e-05,
2633
+ "loss": 6.0541,
2634
+ "step": 375
2635
+ },
2636
+ {
2637
+ "epoch": 0.015364812128394254,
2638
+ "grad_norm": 14.531859397888184,
2639
+ "learning_rate": 8.650114569534795e-05,
2640
+ "loss": 6.176,
2641
+ "step": 376
2642
+ },
2643
+ {
2644
+ "epoch": 0.015405675990437856,
2645
+ "grad_norm": 12.826741218566895,
2646
+ "learning_rate": 8.643176674534475e-05,
2647
+ "loss": 6.4219,
2648
+ "step": 377
2649
+ },
2650
+ {
2651
+ "epoch": 0.015446539852481457,
2652
+ "grad_norm": 15.265447616577148,
2653
+ "learning_rate": 8.63622379383555e-05,
2654
+ "loss": 7.6793,
2655
+ "step": 378
2656
+ },
2657
+ {
2658
+ "epoch": 0.01548740371452506,
2659
+ "grad_norm": 13.909723281860352,
2660
+ "learning_rate": 8.629255956037725e-05,
2661
+ "loss": 6.5717,
2662
+ "step": 379
2663
+ },
2664
+ {
2665
+ "epoch": 0.015528267576568661,
2666
+ "grad_norm": 14.383438110351562,
2667
+ "learning_rate": 8.62227318980223e-05,
2668
+ "loss": 5.8065,
2669
+ "step": 380
2670
+ },
2671
+ {
2672
+ "epoch": 0.015569131438612263,
2673
+ "grad_norm": 20.557435989379883,
2674
+ "learning_rate": 8.615275523851696e-05,
2675
+ "loss": 6.6797,
2676
+ "step": 381
2677
+ },
2678
+ {
2679
+ "epoch": 0.015609995300655865,
2680
+ "grad_norm": 16.86141586303711,
2681
+ "learning_rate": 8.608262986970046e-05,
2682
+ "loss": 6.3276,
2683
+ "step": 382
2684
+ },
2685
+ {
2686
+ "epoch": 0.015650859162699468,
2687
+ "grad_norm": 14.10315990447998,
2688
+ "learning_rate": 8.601235608002372e-05,
2689
+ "loss": 6.3538,
2690
+ "step": 383
2691
+ },
2692
+ {
2693
+ "epoch": 0.01569172302474307,
2694
+ "grad_norm": 13.469561576843262,
2695
+ "learning_rate": 8.594193415854816e-05,
2696
+ "loss": 5.5875,
2697
+ "step": 384
2698
+ },
2699
+ {
2700
+ "epoch": 0.01573258688678667,
2701
+ "grad_norm": 12.106831550598145,
2702
+ "learning_rate": 8.58713643949445e-05,
2703
+ "loss": 5.4271,
2704
+ "step": 385
2705
+ },
2706
+ {
2707
+ "epoch": 0.015773450748830273,
2708
+ "grad_norm": 15.01386833190918,
2709
+ "learning_rate": 8.580064707949164e-05,
2710
+ "loss": 5.6764,
2711
+ "step": 386
2712
+ },
2713
+ {
2714
+ "epoch": 0.015814314610873875,
2715
+ "grad_norm": 15.852811813354492,
2716
+ "learning_rate": 8.572978250307538e-05,
2717
+ "loss": 6.5961,
2718
+ "step": 387
2719
+ },
2720
+ {
2721
+ "epoch": 0.015855178472917477,
2722
+ "grad_norm": 11.857748031616211,
2723
+ "learning_rate": 8.565877095718724e-05,
2724
+ "loss": 4.2244,
2725
+ "step": 388
2726
+ },
2727
+ {
2728
+ "epoch": 0.01589604233496108,
2729
+ "grad_norm": 19.0756893157959,
2730
+ "learning_rate": 8.558761273392332e-05,
2731
+ "loss": 7.479,
2732
+ "step": 389
2733
+ }
2734
+ ],
2735
+ "logging_steps": 1,
2736
+ "max_steps": 1554,
2737
+ "num_input_tokens_seen": 0,
2738
+ "num_train_epochs": 1,
2739
+ "save_steps": 389,
2740
+ "stateful_callbacks": {
2741
+ "TrainerControl": {
2742
+ "args": {
2743
+ "should_epoch_stop": false,
2744
+ "should_evaluate": false,
2745
+ "should_log": false,
2746
+ "should_save": true,
2747
+ "should_training_stop": false
2748
+ },
2749
+ "attributes": {}
2750
+ }
2751
+ },
2752
+ "total_flos": 2.7283571213756006e+17,
2753
+ "train_batch_size": 4,
2754
+ "trial_name": null,
2755
+ "trial_params": null
2756
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a9219a648712915e4e5b45eeefd7434b8aaf0ec95b985b3db3b0860e1a37f919
3
+ size 6776